Biostatistical Analysis, 5th edition

Jerrold H. Zar Northern Illinois University

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For a 1- or 2-semester, junior to graduate-level course in biostatistics, biometry, quantitative biology, or statistics. Assumes a prerequisite of algebra.

A modern classic

Zar's Biostatistical Analysis, 5th Edition is the ideal textbook for students seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. This revision is both comprehensive and easy to read. It is suitable as an introduction for beginning students and as a comprehensive reference book for biological researchers and for advanced students.

Hallmark features of this title

A broad collection of data-analysis procedures and techniques cover a wide variety of biological research, such as physiology, genetics, ecology, behavior, morphology.
The most comprehensive treatment available includes coverage of the basics of statistical analysis, along with topics rarely or never found in statistics books for biologists including diversity, polynomial regression, and more.
An orderly organization and presentation of topics includes cross-referencing as appropriate.
A readable and accessible approach allows students with no previous statistical background or mathematical expertise beyond simple algebra to understand the material presented.
The thoughtful presentation encourages students to think about the value of each statistical technique, as opposed to merely plugging numbers into formulae.
A wealth of graphs and other figures are integrated to visually support concepts under discussion.

New and updated features of this title

Revised, updated or enhanced coverage of:

Normal distribution
Testing for normality
Power in statistical hypothesis testing
The underlying assumptions, and their violation, in parametric and nonparametric testing
A new introduction of prediction limits and one-tailed confidence limits
Analysis of variance
Comparing variances
Multiple-comparison testing, emphasizing the most highly regarded procedures
Randomized-block, repeated-measures, and multivariate analysis of variance
Simple and multiple linear regression and correlation
Kolmogorov-Smirnov goodness-for-fit testing for ordinal data, both two-tailed and one-tailed, continuous and discrete
Contingency-table analysis by chi-square and the Fisher Exact Test
The use of binomial distribution

Data: Types and Presentations
Populations and Samples
Measures of Central Tendency
Measures of Variability and Dispersion
Probabilities
The Normal Distribution
One-Sample Hypotheses
Two-Sample Hypotheses
Paired-Sample Hypotheses
Multisample Hypotheses and the Analysis of Variance
Multiple Comparisons
Two-Factor Analysis of Variance
Data Transformations
Multiway Factorial Analysis of Variance
Nested (Hierarchical) Analysis of Variance
Multivariate Analysis of Variance
Simple Linear Regression
Comparing Simple Linear Regression Equations
Simple Linear Correlation
Multiple Regression and Correlation
Polynomial Regression
Testing for Goodness of Fit
Contingency Tables
Dichotomous Variables
Testing for Randomness
Circular Distributions: Descriptive Statistics
Circular Distributions: Hypothesis Testing

Appendix A: The Greek Alphabet

Appendix B: Statistical Tables and Graphs

Appendix C: The Effects of Coding Data

Appendix D: Analysis of Variance Hypothesis Testing

Answers to Exercises

Literature Cited

Author Index

Subject Index

About our author

Jerrold H. Zar received his undergraduate degree in Biological Sciences from Northern Illinois University in 1962. He later earned his M.S. and Ph.D. degrees in biology and zoology from the University of Illinois at Urbana-Champaign. Zar then returned to Northern Illinois University for 34 years to serve in a variety of capacities. He joined the faculty at NIU as an Assistant Professor in 1968 and quickly rose through the ranks of associate and full professor to become Chair of the Department of Biological Sciences in 1978. He served 2 terms as Chair of the Department and then became the Vice Provost for Graduate Studies and Research and Dean of the Graduate School. He was a founder of the Illinois Minority Graduate Incentive Program and the Illinois Consortium for Educational Opportunities Program, where he helped create and protect fellowship opportunities for minority graduate students at universities across the state. Zar is a member of 17 professional scientific societies, including an elected fellow of the American Association for the Advancement of Science. His many research publications cover a range of topics, from statistical analysis to physiological adaptations of animals to their environment.

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